Frequencies for acc_aux dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for year variable in acc_aux dataset : Accident | Date-Year | Freq. Percent Cum. ------------+----------------------------------- 1986 | 537 100.00 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for state variable in acc_aux dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 537 100.00 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 537 100.00 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for fatals variable in acc_aux dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 492 91.62 91.62 2 | 37 6.89 98.51 3 | 7 1.30 99.81 5 | 1 0.19 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for st_case variable in acc_aux dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.19 0.19 430002 | 1 0.19 0.37 430003 | 1 0.19 0.56 430004 | 1 0.19 0.74 430005 | 1 0.19 0.93 430006 | 1 0.19 1.12 430007 | 1 0.19 1.30 430008 | 1 0.19 1.49 430009 | 1 0.19 1.68 430010 | 1 0.19 1.86 430011 | 1 0.19 2.05 430012 | 1 0.19 2.23 430013 | 1 0.19 2.42 430014 | 1 0.19 2.61 430015 | 1 0.19 2.79 430016 | 1 0.19 2.98 430017 | 1 0.19 3.17 430018 | 1 0.19 3.35 430019 | 1 0.19 3.54 430020 | 1 0.19 3.72 430021 | 1 0.19 3.91 430022 | 1 0.19 4.10 430023 | 1 0.19 4.28 430024 | 1 0.19 4.47 430025 | 1 0.19 4.66 430026 | 1 0.19 4.84 430027 | 1 0.19 5.03 430028 | 1 0.19 5.21 430029 | 1 0.19 5.40 430030 | 1 0.19 5.59 430031 | 1 0.19 5.77 430032 | 1 0.19 5.96 430033 | 1 0.19 6.15 430034 | 1 0.19 6.33 430035 | 1 0.19 6.52 430036 | 1 0.19 6.70 430037 | 1 0.19 6.89 430038 | 1 0.19 7.08 430039 | 1 0.19 7.26 430040 | 1 0.19 7.45 430041 | 1 0.19 7.64 430042 | 1 0.19 7.82 430043 | 1 0.19 8.01 430044 | 1 0.19 8.19 430045 | 1 0.19 8.38 430046 | 1 0.19 8.57 430047 | 1 0.19 8.75 430048 | 1 0.19 8.94 430049 | 1 0.19 9.12 430050 | 1 0.19 9.31 430051 | 1 0.19 9.50 430052 | 1 0.19 9.68 430053 | 1 0.19 9.87 430054 | 1 0.19 10.06 430055 | 1 0.19 10.24 430056 | 1 0.19 10.43 430057 | 1 0.19 10.61 430058 | 1 0.19 10.80 430059 | 1 0.19 10.99 430060 | 1 0.19 11.17 430061 | 1 0.19 11.36 430062 | 1 0.19 11.55 430063 | 1 0.19 11.73 430064 | 1 0.19 11.92 430065 | 1 0.19 12.10 430066 | 1 0.19 12.29 430067 | 1 0.19 12.48 430068 | 1 0.19 12.66 430070 | 1 0.19 12.85 430071 | 1 0.19 13.04 430072 | 1 0.19 13.22 430073 | 1 0.19 13.41 430074 | 1 0.19 13.59 430075 | 1 0.19 13.78 430076 | 1 0.19 13.97 430077 | 1 0.19 14.15 430078 | 1 0.19 14.34 430079 | 1 0.19 14.53 430080 | 1 0.19 14.71 430081 | 1 0.19 14.90 430082 | 1 0.19 15.08 430083 | 1 0.19 15.27 430084 | 1 0.19 15.46 430085 | 1 0.19 15.64 430086 | 1 0.19 15.83 430088 | 1 0.19 16.01 430090 | 1 0.19 16.20 430091 | 1 0.19 16.39 430092 | 1 0.19 16.57 430093 | 1 0.19 16.76 430094 | 1 0.19 16.95 430095 | 1 0.19 17.13 430096 | 1 0.19 17.32 430097 | 1 0.19 17.50 430098 | 1 0.19 17.69 430099 | 1 0.19 17.88 430100 | 1 0.19 18.06 430101 | 1 0.19 18.25 430102 | 1 0.19 18.44 430103 | 1 0.19 18.62 430104 | 1 0.19 18.81 430105 | 1 0.19 18.99 430106 | 1 0.19 19.18 430107 | 1 0.19 19.37 430109 | 1 0.19 19.55 430110 | 1 0.19 19.74 430111 | 1 0.19 19.93 430112 | 1 0.19 20.11 430113 | 1 0.19 20.30 430114 | 1 0.19 20.48 430115 | 1 0.19 20.67 430116 | 1 0.19 20.86 430117 | 1 0.19 21.04 430118 | 1 0.19 21.23 430120 | 1 0.19 21.42 430121 | 1 0.19 21.60 430122 | 1 0.19 21.79 430123 | 1 0.19 21.97 430124 | 1 0.19 22.16 430126 | 1 0.19 22.35 430127 | 1 0.19 22.53 430128 | 1 0.19 22.72 430129 | 1 0.19 22.91 430130 | 1 0.19 23.09 430131 | 1 0.19 23.28 430132 | 1 0.19 23.46 430133 | 1 0.19 23.65 430134 | 1 0.19 23.84 430135 | 1 0.19 24.02 430136 | 1 0.19 24.21 430137 | 1 0.19 24.39 430138 | 1 0.19 24.58 430140 | 1 0.19 24.77 430141 | 1 0.19 24.95 430142 | 1 0.19 25.14 430143 | 1 0.19 25.33 430145 | 1 0.19 25.51 430146 | 1 0.19 25.70 430147 | 1 0.19 25.88 430148 | 1 0.19 26.07 430149 | 1 0.19 26.26 430150 | 1 0.19 26.44 430151 | 1 0.19 26.63 430153 | 1 0.19 26.82 430154 | 1 0.19 27.00 430155 | 1 0.19 27.19 430156 | 1 0.19 27.37 430158 | 1 0.19 27.56 430159 | 1 0.19 27.75 430160 | 1 0.19 27.93 430162 | 1 0.19 28.12 430163 | 1 0.19 28.31 430164 | 1 0.19 28.49 430165 | 1 0.19 28.68 430166 | 1 0.19 28.86 430167 | 1 0.19 29.05 430168 | 1 0.19 29.24 430169 | 1 0.19 29.42 430170 | 1 0.19 29.61 430172 | 1 0.19 29.80 430173 | 1 0.19 29.98 430174 | 1 0.19 30.17 430175 | 1 0.19 30.35 430176 | 1 0.19 30.54 430178 | 1 0.19 30.73 430179 | 1 0.19 30.91 430180 | 1 0.19 31.10 430181 | 1 0.19 31.28 430182 | 1 0.19 31.47 430185 | 1 0.19 31.66 430186 | 1 0.19 31.84 430187 | 1 0.19 32.03 430188 | 1 0.19 32.22 430189 | 1 0.19 32.40 430190 | 1 0.19 32.59 430191 | 1 0.19 32.77 430192 | 1 0.19 32.96 430193 | 1 0.19 33.15 430194 | 1 0.19 33.33 430195 | 1 0.19 33.52 430196 | 1 0.19 33.71 430198 | 1 0.19 33.89 430199 | 1 0.19 34.08 430200 | 1 0.19 34.26 430201 | 1 0.19 34.45 430203 | 1 0.19 34.64 430204 | 1 0.19 34.82 430205 | 1 0.19 35.01 430206 | 1 0.19 35.20 430207 | 1 0.19 35.38 430208 | 1 0.19 35.57 430209 | 1 0.19 35.75 430210 | 1 0.19 35.94 430212 | 1 0.19 36.13 430213 | 1 0.19 36.31 430214 | 1 0.19 36.50 430215 | 1 0.19 36.69 430216 | 1 0.19 36.87 430218 | 1 0.19 37.06 430219 | 1 0.19 37.24 430220 | 1 0.19 37.43 430222 | 1 0.19 37.62 430223 | 1 0.19 37.80 430224 | 1 0.19 37.99 430225 | 1 0.19 38.18 430226 | 1 0.19 38.36 430227 | 1 0.19 38.55 430228 | 1 0.19 38.73 430229 | 1 0.19 38.92 430230 | 1 0.19 39.11 430231 | 1 0.19 39.29 430232 | 1 0.19 39.48 430233 | 1 0.19 39.66 430234 | 1 0.19 39.85 430235 | 1 0.19 40.04 430236 | 1 0.19 40.22 430237 | 1 0.19 40.41 430238 | 1 0.19 40.60 430239 | 1 0.19 40.78 430240 | 1 0.19 40.97 430241 | 1 0.19 41.15 430242 | 1 0.19 41.34 430243 | 1 0.19 41.53 430244 | 1 0.19 41.71 430247 | 1 0.19 41.90 430248 | 1 0.19 42.09 430249 | 1 0.19 42.27 430250 | 1 0.19 42.46 430251 | 1 0.19 42.64 430253 | 1 0.19 42.83 430254 | 1 0.19 43.02 430255 | 1 0.19 43.20 430256 | 1 0.19 43.39 430257 | 1 0.19 43.58 430258 | 1 0.19 43.76 430259 | 1 0.19 43.95 430260 | 1 0.19 44.13 430261 | 1 0.19 44.32 430262 | 1 0.19 44.51 430263 | 1 0.19 44.69 430264 | 1 0.19 44.88 430265 | 1 0.19 45.07 430266 | 1 0.19 45.25 430267 | 1 0.19 45.44 430268 | 1 0.19 45.62 430269 | 1 0.19 45.81 430270 | 1 0.19 46.00 430271 | 1 0.19 46.18 430273 | 1 0.19 46.37 430274 | 1 0.19 46.55 430276 | 1 0.19 46.74 430277 | 1 0.19 46.93 430278 | 1 0.19 47.11 430279 | 1 0.19 47.30 430280 | 1 0.19 47.49 430281 | 1 0.19 47.67 430282 | 1 0.19 47.86 430283 | 1 0.19 48.04 430284 | 1 0.19 48.23 430285 | 1 0.19 48.42 430286 | 1 0.19 48.60 430288 | 1 0.19 48.79 430289 | 1 0.19 48.98 430290 | 1 0.19 49.16 430291 | 1 0.19 49.35 430292 | 1 0.19 49.53 430294 | 1 0.19 49.72 430295 | 1 0.19 49.91 430296 | 1 0.19 50.09 430297 | 1 0.19 50.28 430299 | 1 0.19 50.47 430301 | 1 0.19 50.65 430303 | 1 0.19 50.84 430304 | 1 0.19 51.02 430305 | 1 0.19 51.21 430306 | 1 0.19 51.40 430307 | 1 0.19 51.58 430308 | 1 0.19 51.77 430309 | 1 0.19 51.96 430310 | 1 0.19 52.14 430311 | 1 0.19 52.33 430312 | 1 0.19 52.51 430315 | 1 0.19 52.70 430316 | 1 0.19 52.89 430317 | 1 0.19 53.07 430318 | 1 0.19 53.26 430319 | 1 0.19 53.45 430320 | 1 0.19 53.63 430321 | 1 0.19 53.82 430323 | 1 0.19 54.00 430324 | 1 0.19 54.19 430325 | 1 0.19 54.38 430326 | 1 0.19 54.56 430327 | 1 0.19 54.75 430328 | 1 0.19 54.93 430329 | 1 0.19 55.12 430331 | 1 0.19 55.31 430332 | 1 0.19 55.49 430333 | 1 0.19 55.68 430334 | 1 0.19 55.87 430335 | 1 0.19 56.05 430336 | 1 0.19 56.24 430337 | 1 0.19 56.42 430338 | 1 0.19 56.61 430339 | 1 0.19 56.80 430340 | 1 0.19 56.98 430341 | 1 0.19 57.17 430342 | 1 0.19 57.36 430343 | 1 0.19 57.54 430344 | 1 0.19 57.73 430345 | 1 0.19 57.91 430346 | 1 0.19 58.10 430347 | 1 0.19 58.29 430348 | 1 0.19 58.47 430349 | 1 0.19 58.66 430350 | 1 0.19 58.85 430351 | 1 0.19 59.03 430352 | 1 0.19 59.22 430353 | 1 0.19 59.40 430354 | 1 0.19 59.59 430355 | 1 0.19 59.78 430356 | 1 0.19 59.96 430357 | 1 0.19 60.15 430358 | 1 0.19 60.34 430359 | 1 0.19 60.52 430360 | 1 0.19 60.71 430361 | 1 0.19 60.89 430362 | 1 0.19 61.08 430363 | 1 0.19 61.27 430364 | 1 0.19 61.45 430365 | 1 0.19 61.64 430366 | 1 0.19 61.82 430367 | 1 0.19 62.01 430368 | 1 0.19 62.20 430369 | 1 0.19 62.38 430370 | 1 0.19 62.57 430371 | 1 0.19 62.76 430372 | 1 0.19 62.94 430373 | 1 0.19 63.13 430374 | 1 0.19 63.31 430375 | 1 0.19 63.50 430376 | 1 0.19 63.69 430377 | 1 0.19 63.87 430378 | 1 0.19 64.06 430379 | 1 0.19 64.25 430380 | 1 0.19 64.43 430381 | 1 0.19 64.62 430382 | 1 0.19 64.80 430383 | 1 0.19 64.99 430384 | 1 0.19 65.18 430385 | 1 0.19 65.36 430386 | 1 0.19 65.55 430387 | 1 0.19 65.74 430388 | 1 0.19 65.92 430389 | 1 0.19 66.11 430390 | 1 0.19 66.29 430391 | 1 0.19 66.48 430392 | 1 0.19 66.67 430393 | 1 0.19 66.85 430394 | 1 0.19 67.04 430395 | 1 0.19 67.23 430396 | 1 0.19 67.41 430397 | 1 0.19 67.60 430398 | 1 0.19 67.78 430399 | 1 0.19 67.97 430400 | 1 0.19 68.16 430401 | 1 0.19 68.34 430402 | 1 0.19 68.53 430403 | 1 0.19 68.72 430404 | 1 0.19 68.90 430405 | 1 0.19 69.09 430406 | 1 0.19 69.27 430407 | 1 0.19 69.46 430408 | 1 0.19 69.65 430409 | 1 0.19 69.83 430410 | 1 0.19 70.02 430411 | 1 0.19 70.20 430412 | 1 0.19 70.39 430413 | 1 0.19 70.58 430414 | 1 0.19 70.76 430415 | 1 0.19 70.95 430416 | 1 0.19 71.14 430417 | 1 0.19 71.32 430418 | 1 0.19 71.51 430419 | 1 0.19 71.69 430420 | 1 0.19 71.88 430421 | 1 0.19 72.07 430422 | 1 0.19 72.25 430423 | 1 0.19 72.44 430424 | 1 0.19 72.63 430425 | 1 0.19 72.81 430426 | 1 0.19 73.00 430427 | 1 0.19 73.18 430428 | 1 0.19 73.37 430429 | 1 0.19 73.56 430430 | 1 0.19 73.74 430431 | 1 0.19 73.93 430432 | 1 0.19 74.12 430433 | 1 0.19 74.30 430434 | 1 0.19 74.49 430435 | 1 0.19 74.67 430436 | 1 0.19 74.86 430437 | 1 0.19 75.05 430438 | 1 0.19 75.23 430439 | 1 0.19 75.42 430441 | 1 0.19 75.61 430443 | 1 0.19 75.79 430444 | 1 0.19 75.98 430445 | 1 0.19 76.16 430446 | 1 0.19 76.35 430448 | 1 0.19 76.54 430449 | 1 0.19 76.72 430450 | 1 0.19 76.91 430451 | 1 0.19 77.09 430452 | 1 0.19 77.28 430453 | 1 0.19 77.47 430454 | 1 0.19 77.65 430455 | 1 0.19 77.84 430456 | 1 0.19 78.03 430458 | 1 0.19 78.21 430459 | 1 0.19 78.40 430460 | 1 0.19 78.58 430461 | 1 0.19 78.77 430462 | 1 0.19 78.96 430463 | 1 0.19 79.14 430464 | 1 0.19 79.33 430465 | 1 0.19 79.52 430466 | 1 0.19 79.70 430467 | 1 0.19 79.89 430468 | 1 0.19 80.07 430469 | 1 0.19 80.26 430470 | 1 0.19 80.45 430472 | 1 0.19 80.63 430474 | 1 0.19 80.82 430475 | 1 0.19 81.01 430476 | 1 0.19 81.19 430477 | 1 0.19 81.38 430478 | 1 0.19 81.56 430479 | 1 0.19 81.75 430481 | 1 0.19 81.94 430482 | 1 0.19 82.12 430483 | 1 0.19 82.31 430484 | 1 0.19 82.50 430485 | 1 0.19 82.68 430486 | 1 0.19 82.87 430488 | 1 0.19 83.05 430489 | 1 0.19 83.24 430490 | 1 0.19 83.43 430491 | 1 0.19 83.61 430492 | 1 0.19 83.80 430493 | 1 0.19 83.99 430494 | 1 0.19 84.17 430495 | 1 0.19 84.36 430496 | 1 0.19 84.54 430497 | 1 0.19 84.73 430498 | 1 0.19 84.92 430499 | 1 0.19 85.10 430500 | 1 0.19 85.29 430502 | 1 0.19 85.47 430504 | 1 0.19 85.66 430505 | 1 0.19 85.85 430506 | 1 0.19 86.03 430507 | 1 0.19 86.22 430509 | 1 0.19 86.41 430510 | 1 0.19 86.59 430511 | 1 0.19 86.78 430512 | 1 0.19 86.96 430513 | 1 0.19 87.15 430514 | 1 0.19 87.34 430515 | 1 0.19 87.52 430516 | 1 0.19 87.71 430517 | 1 0.19 87.90 430518 | 1 0.19 88.08 430519 | 1 0.19 88.27 430520 | 1 0.19 88.45 430521 | 1 0.19 88.64 430522 | 1 0.19 88.83 430523 | 1 0.19 89.01 430524 | 1 0.19 89.20 430525 | 1 0.19 89.39 430526 | 1 0.19 89.57 430527 | 1 0.19 89.76 430528 | 1 0.19 89.94 430529 | 1 0.19 90.13 430530 | 1 0.19 90.32 430531 | 1 0.19 90.50 430532 | 1 0.19 90.69 430533 | 1 0.19 90.88 430535 | 1 0.19 91.06 430536 | 1 0.19 91.25 430537 | 1 0.19 91.43 430538 | 1 0.19 91.62 430539 | 1 0.19 91.81 430540 | 1 0.19 91.99 430541 | 1 0.19 92.18 430542 | 1 0.19 92.36 430543 | 1 0.19 92.55 430544 | 1 0.19 92.74 430545 | 1 0.19 92.92 430546 | 1 0.19 93.11 430547 | 1 0.19 93.30 430549 | 1 0.19 93.48 430550 | 1 0.19 93.67 430551 | 1 0.19 93.85 430552 | 1 0.19 94.04 430553 | 1 0.19 94.23 430554 | 1 0.19 94.41 430555 | 1 0.19 94.60 430556 | 1 0.19 94.79 430557 | 1 0.19 94.97 430558 | 1 0.19 95.16 430559 | 1 0.19 95.34 430560 | 1 0.19 95.53 430561 | 1 0.19 95.72 430562 | 1 0.19 95.90 430563 | 1 0.19 96.09 430564 | 1 0.19 96.28 430566 | 1 0.19 96.46 430568 | 1 0.19 96.65 430569 | 1 0.19 96.83 430570 | 1 0.19 97.02 430571 | 1 0.19 97.21 430572 | 1 0.19 97.39 430573 | 1 0.19 97.58 430574 | 1 0.19 97.77 430575 | 1 0.19 97.95 430577 | 1 0.19 98.14 430578 | 1 0.19 98.32 430579 | 1 0.19 98.51 430580 | 1 0.19 98.70 430581 | 1 0.19 98.88 430582 | 1 0.19 99.07 430583 | 1 0.19 99.26 430584 | 1 0.19 99.44 430585 | 1 0.19 99.63 430586 | 1 0.19 99.81 430587 | 1 0.19 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 537 100.00 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 537 100.00 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 343 63.87 63.87 2 | 194 36.13 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 4 0.74 0.74 2 | 533 99.26 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 371 69.09 69.09 2 | 29 5.40 74.49 3 | 6 1.12 75.61 4 | 131 24.39 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 70 13.04 13.04 2 | 467 86.96 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 4 0.74 0.74 2 | 2 0.37 1.12 3 | 310 57.73 58.85 4 | 6 1.12 59.96 5 | 159 29.61 89.57 6 | 56 10.43 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 70 13.04 13.04 2 | 467 86.96 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 377 70.20 70.20 2 | 37 6.89 77.09 3 | 90 16.76 93.85 4 | 30 5.59 99.44 5 | 2 0.37 99.81 7 | 1 0.19 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 537 100.00 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 178 33.15 33.15 2 | 359 66.85 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 238 44.32 44.32 2 | 299 55.68 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 60 11.17 11.17 2 | 477 88.83 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 369 68.72 68.72 2 | 145 27.00 95.72 3 | 23 4.28 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 12 2.23 2.23 2 | 525 97.77 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 31 5.77 5.77 2 | 506 94.23 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 269 50.09 50.09 2 | 268 49.91 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 208 38.73 38.73 2 | 329 61.27 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 15 2.79 2.79 2 | 522 97.21 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 49 9.12 9.12 2 | 488 90.88 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 537 100.00 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 172 32.03 32.03 2 | 62 11.55 43.58 3 | 303 56.42 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 54 10.06 10.06 2 | 483 89.94 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 53 9.87 9.87 2 | 484 90.13 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 76 14.15 14.15 2 | 461 85.85 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 75 13.97 13.97 2 | 462 86.03 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 29 5.40 5.40 2 | 508 94.60 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 97 18.06 18.06 2 | 440 81.94 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 166 30.91 30.91 2 | 371 69.09 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 537 100.00 100.00 ------------+----------------------------------- Total | 537 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 3 0.56 0.56 2 | 534 99.44 100.00 ------------+----------------------------------- Total | 537 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016